Literature DB >> 32046431

Identification of a Gene Panel for Endometrioid Endometrial Cancer: a Possible Prognostic Value?

Francesca Malentacchi1, Irene Turrini2, Flavia Sorbi2, Elisabetta Projetto3, Francesca Castiglione3, Federica Vergoni3, Gianni Amunni2, Massimiliano Fambrini2, Felice Petraglia2, Ivo Noci2, Serena Pillozzi4,5.   

Abstract

The incidence of endometrial cancer (EC) is increasing in developed countries. The most frequent is the endometrioid subtype with usually good prognosis; nevertheless, some cases escape this paradigm and may have recurrence. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. The present preliminary study was performed on 15 G3 endometrioid endometrial cancers (G3 EEC) for the identification of somatic mutations in a panel of specific exons in selected genes as ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, and TP53. The combined procedure, based on the Sanger sequencing and PCR-high-resolution melting analysis, allowed the identification of variations of the selected gene panel in most of patients (93%) of our cohort. The overall evaluation of mutational load exhibited that the most frequent mutated genes were PTEN (93%), followed by PIK3CA (47%) suggesting a deep involvement of PI3K pathway alteration in G3 EEC. Mutations in TP53 (27%), ARID1A (27%), POLE (13%), and at the lower level in KRAS and CTNNB1 (7%) were also observed (exclusively in FIGO III stage patients). The evaluation of the mutations of our proposed panel (ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, TP53) is suitable to improve the characterization of G3 EEC and could suggest targetable pathways for development of personalized treatments.

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Keywords:  Combined PCR-high resolution melting analysis (PCR-HRMA) and Sanger sequencing; Endometrioid endometrial cancer; Grade 3 EEC; Mutational load; Somatic mutations

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Year:  2020        PMID: 32046431     DOI: 10.1007/s43032-019-00059-8

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  2 in total

1.  Clinical evaluation of a droplet digital PCR assay for detecting POLE mutations and molecular classification of endometrial cancer.

Authors:  Gilhyang Kim; Song Kook Lee; Dong Hoon Suh; Kidong Kim; Jae Hong No; Yong Beom Kim; Hyojin Kim
Journal:  J Gynecol Oncol       Date:  2021-12-06       Impact factor: 4.401

2.  Pre-treatment risk assessment of women with endometrial cancer: differences in outcomes of molecular and clinical classifications in the Slovenian patient cohort.

Authors:  Jure Knez; Monika Sobocan; Urska Belak; Rajko Kavalar; Mateja Zupin; Tomaz Büdefeld; Uros Potocnik; Iztok Takac
Journal:  Radiol Oncol       Date:  2021-09-17       Impact factor: 2.991

  2 in total

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